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User-level fine-grained adaptive real-time scheduling via temporal reflection


Sergio Ruocco



Real-time systems must adapt their behaviour when the timing assumptions they are based on change at run time. A viable approach leading to effective adaptations consists of exploiting application-specific knowledge, but limitations of ordinary schedulers constrain its applicability. In this paper this problem is tackled using a /reflective/ scheduler, which enables a computing system to perform /temporal reflection/, that is to fully observe and control its own temporal behaviour. The scheduler is implemented for the L4 microkernel, and validated by solving a real-time image analysis problem. Compared with other approaches the reflective scheduler is orders of magnitude more precise, achieving microsecond-level accuracy, while its implementation is entirely at user-level, and it does not require any changes to be made to the microkernel itself.

BibTeX Entry

    month            = dec,
    booktitle        = {Proceedings of the 27th IEEE Real-Time Systems Symposium},
    paperurl         = {},
    author           = {Sergio Ruocco},
    title            = {User-Level Fine-Grained Adaptive Real-Time Scheduling via Temporal Reflection},
    address          = {Rio De Janeiro, Brazil},
    year             = {2006}